• Journal of Korea Technology Innovation Society
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• v.18 no.2
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• pp.264-291
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• 2015

This research is to empirically analyze the effects of governmental policy including R&D subsidiary and tax reduction, which are both direct and indirect financial supports, during the examination period (2007~2009). The analysis was based on 2,751 firms that received governmental support via both R&D subsidiary and tax reduction with 7,038 panel events during the economic recession (2008~2009) and found that governmental support drives R&D investment of firms during the recession. The contribution of this research is that investigation of policy effectiveness categorized by firm sizes, particularly during the economic crisis. The result of the study is that during the recession, large firms had more elasticity increase towards tax reduction whereas smaller firms and ventures had it towards direct financial subsidiary. The elasticity increase of both large and small firms was in positive association with firms' R&D investment. The result indicates that government support obviously has positive influence on R&D investment of firms during the crisis, even enforcing the investment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.5
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• pp.2067-2077
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• 2011

The recent trend in technology development is characterized as technology convergence, mainly between IT, BT and NT and also more and more industries are starting to use several technologies simultaneously or in a combined way theses days. As a result, the needs on technology interaction analysis is increasing for strategic technology management and policy-making. Responding to the needs, this research deals with technology innovation process in terms of technology competition, particularly focusing on the 17 new growth drivers in 3 areas, which has been announced by the Korean government as a new growth vision for Korean economy, and analyzing their co-evolutionary process. For the analysis, patent data, a representative data on technology innovation, is adopted. Then, Lotka-Volterra Competition model, a model frequently used to describe the dynamism of competitive innovation is applied to the data. The research results are expected to support strategic decision-makings such as effect policy-making or R&D priority-setting, by analyzing the relationship between the 3 areas, the 17 new growth drivers, or the particular technologies in the drivers.

• Journal of Digital Convergence
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• v.18 no.8
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• pp.37-48
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• 2020

This study aimed at understanding trends of living lab studies and deriving implications for directions of the studies by utilizing text mining. The study included network analysis and topic modelling based on keywords and abstracts from total 166 thesis published between 2011 and November 2019. Centrality analysis showed that living lab studies had been conducted focusing on keywords like innovation, society, technology, development, user and so on. From the topic modelling, 5 topics such as "regional innovation and user support", "social policy program of government", "smart city platform building", "technology innovation model of company" and "participation in system transformation" were extracted. Since the foundation of KNoLL in 2017, the diversification of living lab study subjects has been made. Quantitative analysis using text mining provides useful results for development of living lab studies.

• Food Science and Industry
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• v.53 no.4
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• pp.410-421
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• 2020

Regarding a long-term strategic plan in the food and agriculture sector, R&D policies and investment trends in major overseas countries are reviewel. The importance of efficient resource management is emphasized along with continuous government support for R&D in the agri-food industry. In response to facing social issues such as climate change, food security, food safety, health, and environment, research and innovation agenda is mainly focused on harmony between economy and environment, human nutrition and health as well as animal and plant health, and an integrated ecosystem approach. Particularly in the food sector, public investment is generally made in food safety, nutrition and health, and private investment for food processing and manufacturing. Public-private collaboration is carried out in order to enhance the efficiency of R&D innovation and development strategies in the agri-food industry.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.3
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• pp.1-17
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• 2020

The Fourth Sector has been attracting attention as a means to solve the various problems plaguing modern society; it emerged to overcome the Third Sector's issues such as excessive reliance on the government and service model isomorphism, represented by social economy enterprises (Meadows, 1972; Howaldt & Schwarz, 2010). Social venture companies have been mentioned as key agents of the Fourth Sector (Gyeonggi Research Institute, 2018). However, the academic and policy concepts related to social ventures continue to be vague. Therefore, this study aims to clarify the concept of social ventures as part of the Fourth Sector, and research development strategies for the vitalization of the social venture ecosystem in an effort to encourage inclusive growth of society. To achieve these goals, it establishes the concept of social ventures differentiated from the Third Sector, based on previous studies, and presents the importance of an intermediate support organization for the ecosystem's vitalization. Furthermore, to propose strategies for said vitalization, the study derives detailed forms of social venture intermediate support organizations, and provides suggestions regarding their importance and roles through social innovation levels.

• Journal of Digital Convergence
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• v.17 no.12
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• pp.77-82
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• 2019

In this paper, we propose a new industry - university collaboration plan through the analysis of the present state of industry-academia cooperation and government support projects, and analysis of major overseas cases. The following is the plan for activating the new crop cooperation. First, it is necessary to strengthen the innovation of education system and establishment of new education course based on future demand through future-oriented industry-university cooperation. Second, active industry-academia cooperation should stimulate entrepreneurship education and entrepreneurship based on university resources. Third, it should act as an anchor of regional innovation by actively cooperating with local innovation entities. It is necessary to develop an industry-university cooperation model that can generate profits and contribute to university finance.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.549-555
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• 2023

The main point related to the entrepreneurial ecosystem is that in an environment where a good entrepreneurial ecosystem has been established, startup companies can generate good results. From this perspective, this study examined the perception of entrepreneurs regarding the entrepreneurial ecosystem in the Daegu by conducting an analysis of importance and satisfaction towards the Daegu entrepreneurial ecosystem, using the results of the Innovation Entrepreneurial Ecosystem Establishment and Operation Project of the Daegu Creative Economy Innovation Center, which is a key member of the entrepreneurial ecosystem. The analysis results showed that the importance and satisfaction of the entrepreneurial infrastructure were classified as high, while the importance and satisfaction of finance (investment and support) and securing human resources were shown to be low. Based on the results of this study, we confirmed the perception of entrepreneurs regarding the entrepreneurial ecosystem in Daegu and provided implications for improving the regional entrepreneurial ecosystem and policy directions.

• STI Policy Review
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• v.1 no.3
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• pp.1-15
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• 2010

This paper makes the case that a new policy strategy to enhance a global green recovery is needed urgently. The new strategy requires two essential elements. First, G20 economies should follow the lead of South Korea and China and turn their green stimulus investments into a serious long-term commitment, and to support these investments, they should adopt environmental pricing policies and instigate pricing and regulatory reforms to reduce carbon dependency. Second, the G20 also needs to target and coordinate assistance to developing economies in science, technology and innovation (STI) for clean energy. Such assistance is essential to help developing economies to overcome the skills, technological and capital gap that they face in clean energy technologies over the long term. Reform of the Clean Development Mechanism (CDM) is also necessary to establish a long-term global price signal for carbon, and to increase the coverage of developing economies, the sectors and technologies and the overall financing of clean energy projects. Formulating such a policy strategy should appeal to both the Asian-Pacific and Western economies comprising the G20, and by working together to formulate such a strategy, the G20 could lead the way toward a new era of global economic management and STI cooperation in clean energy.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.2
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• pp.197-214
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• 2024

This study aimed to investigate students' perceptions at science and technology specialized universities towards entrepreneurship support policies and to derive policy improvement measures by applying a bottom-up approach to reflect the requirements of the policy beneficiaries, i.e., the students. Specifically, the research explored effective execution strategies for student entrepreneurship support policies through a survey and analysis of KAIST students. The findings revealed that KAIST students recognize the urgent need for improvement in sharing policy objectives with the student entrepreneurship field, reflecting the opinions of the campus entrepreneurship scene in policy formulation, and constructing an entrepreneurship-friendly academic system for nurturing student entrepreneurs. Additionally, there was a highlighted need for enhancement in the capacity of implementing agencies, as well as in marketing and market development capabilities, and organizational management and practical skills as entrepreneurs within the educational curriculum. Consequently, this study proposes the following improvement measures: First, it calls for enhanced transparency and accessibility of entrepreneurship support policies, ensuring students clearly understand policy objectives and can easily access information. Second, it advocates for student-centered policy development, where students' opinions are actively incorporated to devise customized policies that consider their needs and the actual entrepreneurship environment. Third, there is a demand for improving entrepreneurship-friendly academic systems, encouraging more active participation in entrepreneurship activities by adopting or refining academic policies that recognize entrepreneurship activities as credits or expand entrepreneurship-related courses. Based on these results, it is expected that this research will provide valuable foundational data to actively support student entrepreneurship in science and technology specialized universities, foster an entrepreneurial spirit, and contribute to the creation of an innovation-driven entrepreneurship ecosystem that contributes to technological innovation and social value creation.

• Korea Journal of Hospital Management
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• v.29 no.3
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• pp.11-25
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• 2024

Purpose: This study investigates the factors influencing medical school faculty's entrepreneurial decisions and prioritizes these factors. Methodology: The study examines the determinants of entrepreneurial decisions among medical school faculty by reviewing prior studies. These determinants were categorized into four perspectives: resource-based, industrial organization, entrepreneur characteristics, and other. Using the Analytic Hierarchy Process(AHP), the study analyzed the relative priorities of 27 specific indicators. Surveys were conducted with medical school faculty with startup experience, professors with relevant expertise, and organizational leaders involved in entrepreneurship. A total of 33 responses were validated for consistency, and an empirical analysis identified the priority of factors influencing medical school faculty startups. Findings: The findings reveal that 'entrepreneur characteristics' and 'institutional and organizational support' are the highest priority factors for medical school faculty. Key resource-based factors include the 'leave of absence' or 'concurrent employment policy,' availability of 'professional human resources,' and 'organizational support' specializing in startups. An integrated analysis shows that while intellectual resources such as research publications, patents, and physical space are necessary, the highest priority is given to leave policies, professional human resources, and organizational support. Practical Implication: Medical school faculty are recognized as key innovation agents in the bio-health industry. The results provide crucial insights for policymakers and stakeholders at governmental, institutional, and organizational levels. Strengthening self-competence, increasing entrepreneurship opportunities, and establishing professional human resources and organizational support within medical universities or hospitals are critical for facilitating medical school faculty startups.